Responsibilities

We are seeking a Senior Staff Engineer to build and optimize the EDA design environment and large-scale compute infrastructure that supports our semiconductor design organizations, and to establish company-wide standards and processes for EDA licensing and R&D software. In this role, you will design and standardize the shared design environments and infrastructure used across multiple design organizations, driving engineering productivity and cost efficiency at scale.
Samsung DSA has launched a new AI initiative to build the foundational capabilities for practical, agentic AI systems. The AI Innovation team is the driving force behind this vision, leading innovation at the intersection of machine learning and system engineering to develop and operate our next-generation Agentic AI framework. We aim to enable LLMs to autonomously plan, retrieve information, coordinate with tools, and execute multi-step workflows across our internal knowledge ecosystem. We are actively seeking talented Machine Learning Engineers specializing in building next-generation AI/ML solutions.
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy
EDA design standards and environment enablement — Define standard processes and guidelines for design flow onboarding, tool qualification, and version control; set up, deploy, operate, and provide technical support for the EDA tool environments used by design organizations
EDA license contracts, management, and capacity optimization — Lead vendor relationship management and contract negotiations and renewals; determine appropriate license quantities through utilization monitoring and demand forecasting; optimize cost by identifying and reallocating idle licenses; own the architecture and operation of license servers
EDA design environment and infrastructure roadmap — Define the roadmap and prioritize requirements from design organizations
LSF compute farm buildout and optimization — Cluster architecture design, queue and resource policy definition, job scheduling tuning, utilization-driven performance improvement, and capacity planning
User login environment (Exceed TurboX, ETX) — Build, operate, and establish the user support model
Engineering collaboration and DevOps platforms (Jira, Confluence) — Own governance, upgrades, and migrations
Enterprise R&D software portfolio management — Drive consolidation and standardization
BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field
15+ years in CAD/CAE, EDA infrastructure, or engineering IT within semiconductor design environments

Senior Staff Engineer, CAE Infrastructure & R&D Software at Samsung Semiconductor · LumiJobs

Senior Staff Engineer, CAE Infrastructure & R&D Software

Responsibilities

Benefits

Company

Samsung Semiconductor

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